DiscoPhon: Benchmarking the Unsupervised Discovery of Phoneme Inventories With Discrete Speech Units

arXiv:2603.18612 · cs.CL, cs.SD, eess.AS · Submitted 2026-03-19 · Read on arXiv

cs.CL, cs.SD, eess.AS

Submitted: 2026-03-19

Updated: 2026-09-24

Terminology

• Benchmark — 23× in this paper · explained in 2 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Representation Learning — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Phone Error Rate — 2× in this paper
• Quantization — 2× in this paper · explained in 12 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling
• fastabx: A library for efficient computation of ABX discriminability

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering